-
for the long-term health of our code repositories and the versioning of models and data (Git, DVC, MLflow). Requirements: Education: Ph.D Degree in Computer Science, Engineering, Mathematics, Physics
-
internal reports and manuscripts. Requirements: Minimum (required) PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge molecular dynamics
-
, Computer Science, or related disciplines. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance
-
benchmarking. Contribution to SIESTA training events. Contribution to other activities in the group. Requirements: PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines